README.md

---
license: mit
task_categories:
- text-generation
language:
- mg
size_categories:
- 10K<n<100K
---
## Dataset Description

This dataset contains news articles, stories, and cultural reports scraped from [Global Voices Malagasy](https://mg.globalvoices.org/). It is intended to support Natural Language Processing (NLP) tasks for the Malagasy language, such as language modeling and text generation.

The data is automatically scraped and updated once a month to ensure freshness.

## Dataset Structure

The dataset is formatted in JSONL (JSON Lines). Each entry represents a single article.

### Data Fields

- `url` (string): The original URL of the article.
- `title` (string): The title of the article.
- `date` (string): The publication date (ISO format or similar).
- `author` (string): The name of the author or translator.
- `content` (string): The main body text of the article (cleaned).

### Example

```json
{
  "url": "https://mg.globalvoices.org/2025/12/15/example-story",
  "title": "Lohateny momba ny fiarahamonina",
  "date": "2025-12-15T10:00:00+03:00",
  "author": "Rakoto",
  "content": "Ity dia ohatra iray amin'ny lahatsoratra hita ao amin'ny Global Voices..."
}
```
## Use Cases

This dataset is ideal for training models on **formal and standard Malagasy**. Because news articles follow specific grammatical rules and journalistic standards, they provide a clean baseline for NLP.

*   **Language Modeling (LLM Pre-training):** To teach models the core grammar, syntax, and vocabulary of the Malagasy language in a formal context.
*   **Named Entity Recognition (NER):** The dataset contains numerous mentions of people, locations, organizations, and dates relevant to Madagascar and the world, useful for training entity extractors.

### How to use
```python
from datasets import load_dataset

dataset = load_dataset("Lo-Renz-O/GBV-Malagasy")

# Print the first example
print(dataset['train'][0])
```